We propose a system for monitoring the driving maneuver at road intersections using rule-based reasoning and deep learning-based Burner Locknut computer vision techniques.Along with detecting and classifying turning movements online, the system also detects violations such as ignoring STOP signs and failing to yield the right-of-way to other driver
A new edge detection operator based on dual parity morphological gradients is proposed, in order to accurately segment a porcelain insulator string in an infrared image before the identification and diagnosis of deteriorated insulators by the extracted thermal HEALTHY GRAPEFRUIT information.When applied to the double-shed insulators, the proposed d
This paper addresses the challenge of enhancing the presentation style of visual exhibitions within museum settings, where the traditional approach Saccharomyces Boulardii can be perceived as unengaging.The study focuses on improving the performance of the ORB algorithm, a feature detection and matching method.Specifically, we introduce a novel tec
The introduction of genetically modified grain and oilseed products at the farm level and resistance for these products by consumer groups have led to segmentation in grain markets.This study explores 8 Piece Sectional wtih Audio the implications for market price behavior for a segregated soybean market for genetically modified (GM) and non-GM vari